Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

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Abstract

The Knowledge Acquisition Framework. The Knowledge Representation Environment. The Inference Im-2. The Sort Taxonomy. The Predicate Structure. Model-Driven Rule Discovery. Knowledge Revision. Concept Formation. Practical Experiences. Bibliography. Author Index. Name Index. Subject Index.

Topics & Keywords

Neural Networks and Applications Data Mining Algorithms and Applications Advanced Database Systems and Queries

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Published in: Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)

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Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

Authors

Abstract

Topics & Keywords

Publication Details